{"url":"/dataset/ee3p-dataset","name":"EE3P Dataset","full_name":null,"description_markdown":"# EE3P: Event-based Estimation of Periodic Phenomena Properties (Dataset)\r\nKolář, J., Špetlík, R., Matas, J. (2024) Measuring Speed of Periodical Movements with Event Camera. In Proceedings of the 27th Computer Vision Winter Workshop, 2024\r\n\r\nPaper Link: [arXiv](https://arxiv.org/abs/2402.14958), [CVWW proceedings](https://cvww2024.sdrv.si/wp-content/uploads/sites/5/2024/02/CVWW2024_Proceedings.pdf)\r\n\r\nData Capture Demonstration: [Video](https://youtu.be/QlfQtvbaYy8)\r\n\r\n## Data Structure: 🗃\r\n\r\nThe data is organized into folders, each representing a specific experiment from the paper. Each folder contains the following files:\r\n\r\n- `.raw`: Raw event camera data in the [EVT  3.0](https://docs.prophesee.ai/stable/data/encoding_formats/evt3.html#chapter-data-encoding-formats-evt3) format.\r\n- `_slowdownfactor_fps.avi`: Slowed down video of the event stream.\r\n- `_tachometer_data.xml`: Ground truth data from the laser tachometer (if applicable).\r\n\r\nThe files were compressed and split into multiple `.rar` files to meet GitHub file size guidelines.\r\n\r\n### Folder Descriptions: 📁\r\n\r\n- `01_line`: Experiment measuring the rotational speed of a disc with a high-contrast mark.\r\n- `02_velcro`: Experiment measuring the rotational speed of a disc with a uniform velcro surface.\r\n- `03_velcroside`: Experiment measuring the rotational speed of a disc with velcro, viewed from the side.\r\n- `04_speaker`: Experiment measuring the vibration frequency of a speaker diaphragm.\r\n- `05_led`: Experiment measuring the flashing frequency of an LED.\r\n\r\n**Note:** \r\nNot all experiments use the laser tachometer, hence the absence of the corresponding data file in some folders.\r\n\r\n## Usage: 🚀\r\n\r\nThe data can be used for various purposes, including:\r\n- Reproducing the experiments in the paper.\r\n- Developing and testing new methods for frequency and rotational speed estimation using event cameras.\r\n- Comparing the performance of different event camera-based methods.\r\n\r\n## License: 📄\r\n\r\nThe data is provided under the GPL-3.0 license. Please refer to the LICENSE file for details.\r\n\r\nWe encourage you to use this data responsibly and cite the paper if you use it in your work:\r\n```\r\n@INPROCEEDINGS{kolář_ee3p_2024,\r\n      title={EE3P: Event-based Estimation of Periodic Phenomena Properties},\r\n      booktitle={Proceedings of the 27th Computer Vision Winter Workshop 2024},\r\n      pages={66-74},\r\n      author={Jakub Kolář and Radim Špetlík and Jiří Matas},\r\n      year={2024},\r\n      eprint={2402.14958},\r\n      archivePrefix={arXiv},\r\n      primaryClass={cs.CV},\r\n      doi={10.48550/ARXIV.2402.14958}\r\n}\r\n```","description_withheld":null,"homepage":"https://github.com/JackPieCZ/EE3P","introduced_date":"2024-02-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/ee3p-event-based-estimation-of-periodic","title":"EE3P: Event-based Estimation of Periodic Phenomena Properties","first_author":"Jakub Kolář","url":null},"license":{"name":"GPL-3.0","url":"https://github.com/JackPieCZ/EE3P/blob/main/LICENSE"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["EE3P Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}